Method and system for removing noise by using change in activity pattern

Abstract

A noise removal method and system using a change in activity pattern, in which it is recognized that noise components exist in different frequency bands and different filters for removing noise are stored according to each activity pattern, thereby optimally removing the noise components. A method of removing noise by using a change in an activity pattern includes: recognizing an activity pattern of the subject using an activity sensor; sensing a first bio signal corresponding to the activity pattern from the subject using an electric potential sensor; recognizing a noise generation pattern according to the activity pattern by analyzing a noise component for each section of the first bio signal; selecting filter information for each section according to the noise generation pattern; storing the filter information selected for each section in association with the activity pattern; and removing noise from a second bio signal sensed from the subject by applying the stored filter information.

Description

CROSS-REFERENCE TO RELATED APPLICATION[0001]This application claims the benefit of Korean Patent Application No. 2005-94310, filed on Oct. 7, 2005, in the Korean Intellectual Property Office, the disclosure of which is incorporated herein by reference.BACKGROUND OF THE INVENTION[0002]1. Field of the Invention[0003]The present invention relates to a method and system for removing noise by using a change in activity pattern, in which it is recognized that an occupation pattern of a noise component included in a bio signal is different according to the activity pattern of the subject and different filters for removing noise according to each activity pattern are stored, thereby optimally removing the noise components.[0004]2. Description of Related Art[0005]A general sensing device for measuring a bio signal is attached to a subject such as a human and directly senses a bio signal such as an electrocardiogram signal of the subject. The sensed bio signal is used as data for determining ...

AI Technical Summary

Benefits of technology

[0013]An aspect of the present invention provides a noise removal method and system using a change in activity pattern, in which a filter for removing noise components included in a bio signal is selected according to activity pattern of the subject, thereby removing baseline drift and an electromyogram signal when sensing an electrocardiogram signal.

[0014]An aspect of the present invention also provides a noise removal method and system using a change in activity pattern, in which a filter required in removing noise is determined by analyzing a part of bio signals sensed from the subject and the determined filter is applied to a sensed bio signal, thereby quickly removing the noise.

[0015]An aspect of the present invention also provides a noise removal method and system using a change in activity pattern, in which a bio signal is converted from a time domain into a frequency domain to identify a frequency band which includes a noise component and to easily determine a filter filtering the noise component in the frequency band.

Problems solved by technology

Also, when a patch type electric potential measurement sensor, an electrocardiogram signal is weak and relatively susceptible to an electromyogram signal and baseline drift.

This may be a problem generated in using any minimized electrodes.

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